364 search results - page 54 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
101
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ICANN
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
152
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
104
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
156
Voted
ESANN
2007
15 years 4 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
141
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ICANNGA
2009
Springer
15 years 9 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...